CircuitSeer: RTL Post-PnR Delay Prediction via Coupling Functional and Structural Representation

Register transfer level (RTL) optimization is a critical design phase that ensures timing closure and performance. Although machine learning (ML) has been utilized to quickly predict post-synthesis delay metrics, estimating post-place and route (PnR) delay remains a significant challenge. This is due to the distinct functionality-preserving characteristics of logic synthesis and the structure-dependent aspect of physical design. Furthermore, Logic Synthesis heavily restructures the netlist, resulting in substantial structural disparities that hinder capturing the post-synthesis netlist structure.

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Published
2024-10-27
DOI
https://doi.org/10.1145/3676536.3676668
Primary Topic
VLSI and Analog Circuit Testing
Type
article
Field-Weighted Citation Impact
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article

CircuitSeer: RTL Post-PnR Delay Prediction via Coupling Functional and Structural Representation

Sandip Kumar Samanta, Hao Zheng, Sanjay Gandham, Mingjie Lin et al.
VLSI and Analog Circuit Testing
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CircuitSeer: RTL Post-PnR Delay Prediction via Coupling Functional and Structural Representation

Sandip Kumar Samanta, Hao Zheng, Sanjay Gandham, Mingjie Lin, Joe Walston, Lingxiang Yin, Stelios Diamantidis
article en

Abstract

Register transfer level (RTL) optimization is a critical design phase that ensures timing closure and performance. Although machine learning (ML) has been utilized to quickly predict post-synthesis delay metrics, estimating post-place and route (PnR) delay remains a significant challenge. This is due to the distinct functionality-preserving characteristics of logic synthesis and the structure-dependent aspect of physical design. Furthermore, Logic Synthesis heavily restructures the netlist, resulting in substantial structural disparities that hinder capturing the post-synthesis netlist structure.

University of Central Florida (US), Synopsys (United States) (US)
Openalex Percentile: Top 67%
VLSI and Analog Circuit Testing
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